Evidence map›Paper›PMID 37893623›Full record

ArticleFoods (Basel, Switzerland)2023

Lipid Profile in Multiple Sclerosis: Functional Capacity and Therapeutic Potential of Its Regulation after Intervention with Epigallocatechin Gallate and Coconut Oil.

Jose Enrique de la Rubia Ortí, Jose Luis Platero Armero, María Cuerda-Ballester, Claudia Emmanuela Sanchis-Sanchis, Esther Navarro-Illana, Jose María Lajara-Romance, María Benlloch, Jose Joaquín Ceron, Asta Tvarijonaviciute, Belén Proaño

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. The Role of Lipid Alteration in Multiple Sclerosis.International journal of molecular sciences · 2026
    Review
  6. Review
  7. Review
  8. Review
  9. Metabolic and lipid alterations in multiple sclerosis linked to disease severity.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025
    Article
  10. Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Jose Enrique de la Rubia OrtíDepartment of Nursing, Catholic University of Valencia San Vicente Mártir, 46001 Valencia, Spain.ORCID 0000-0001-6808-9505
Jose Luis Platero ArmeroDepartment of Nursing, Catholic University of Valencia San Vicente Mártir, 46001 Valencia, Spain.
María Cuerda-BallesterDoctoral Degree School, Health Sciences, Catholic University of Valencia San Vicente Mártir, 46001 Valencia, Spain.ORCID 0000-0002-8844-8461
Claudia Emmanuela Sanchis-SanchisDepartment of Nursing, Catholic University of Valencia San Vicente Mártir, 46001 Valencia, Spain.ORCID 0000-0002-2660-5505
Esther Navarro-IllanaDepartment of Nursing, Catholic University of Valencia San Vicente Mártir, 46001 Valencia, Spain.ORCID 0000-0001-6350-3113
Jose María Lajara-RomanceMultimedia Department, Catholic University of Valencia San Vicente Mártir, 46001 Valencia, Spain.
María BenllochDepartment of Nursing, Catholic University of Valencia San Vicente Mártir, 46001 Valencia, Spain.ORCID 0000-0002-3342-6732
Jose Joaquín CeronInterdisciplinary Laboratory of Clinical Analysis, Campus of Excellence Mare Nostrum, University of Murcia, 30100 Murcia, Spain.
Asta TvarijonaviciuteInterdisciplinary Laboratory of Clinical Analysis, Campus of Excellence Mare Nostrum, University of Murcia, 30100 Murcia, Spain.ORCID 0000-0002-5323-5001
Belén ProañoDepartment of Nursing, Catholic University of Valencia San Vicente Mártir, 46001 Valencia, Spain.ORCID 0000-0002-3623-7363
Universitat de València · ESUniversidad de Murcia · ES

Funding

Valencia Catholic University Saint Vincent Martyr 2018-203-001
6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) patients present dyslipidemia and functional disability. Epigallocatechin gallate (EGCG) and coconut oil have been shown to be effective against dyslipidemia.

objectiveTo analyze the relationship between lipid profiles, fat consumption, and functional disability in patients with MS after administering EGCG and coconut oil.

methodsA four-month pilot study was conducted on 45 MS patients, divided into an intervention group (IG) and a control group (CG). The IG received 800 mg of EGCG and 60 mL of coconut oil. Lipid profiles were measured before and after the intervention, along with other data such as dietary habits, inflammatory markers, and functional capacity.

resultsDyslipidemia did not correlate with the patients' fat consumption. After the intervention, triglycerides (TG) levels were lower in IG compared to CG. This decrease was positively correlated with an improvement in functional disability (determined by the Expanded Disability Status Scale (EDSS)) and negatively with high-density cholesterol (HDL) and apolipoprotein A1. Significant and positive correlations were observed between EDSS and C-reactive protein (CRP) in the IG. These changes in the IG could be related to body fat decrease, whose percentage shows a positive correlation with CRP and TG levels, and a negative correlation with HDL levels.

conclusionsPatients with MS present a certain type of dyslipemia not associated with their nutritional habits. The administration of EGCG and coconut oil seems to decrease blood TG levels, which could explain the functional improvements.

Indexed as

coconut oilEGCGketone bodieslipid profilemultiple sclerosis

Identifiers

PMID37893623
PMCPMC10606609
OpenAlexW4387542072

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.